Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A36A33411935274437C6D530A55B3BE2A69E4FFAE70A010EECD7EA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:+oKwLz4NP/y9svbliCdEbXaFtiuCa28y2O9:HbmArZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c762b53ad52ad642 |
|
VISUAL
aHash
|
00002000000001ff |
|
VISUAL
dHash
|
1ec0c6c2c8cde398 |
|
VISUAL
wHash
|
00fff2202004ffff |
|
VISUAL
colorHash
|
31000600030 |
|
VISUAL
cropResistant
|
2204a081185880a0,1ecac6c2c0c9cdf3 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 54 techniques to evade detection by security scanners and make reverse engineering more difficult.